Model comparison
DBRX vs GPT-6 Luna
GPT-6 Luna is the stronger model overall, scoring 45.1 to 29.0 on the Noometry Index.
Last verified . 13 shared benchmarks.
DatabricksSummary
- They share 13 benchmarks with published results for both. DBRX scores higher in 0 categories and GPT-6 Luna in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-6 Luna leads 40.1 to 14.9.
- DBRX has downloadable open weights; the other is API-only.
Side by side
| DBRX | GPT-6 Luna | |
|---|---|---|
| Provider | Databricks | OpenAI |
| Noometry Index | 29.0 | 45.1 |
| Released | 2024-03-27 | 2026-09-22 |
| Weights | Open | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 128K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.50 |
| Results tracked | 21 | 18 |
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Category by category
Coding GPT-6 Luna leads
DBRX: 32.3 (#262), GPT-6 Luna: 54.7 (#24)
| Benchmark | DBRX | GPT-6 Luna |
|---|---|---|
| LMArena Coding | 1132 | 1448 |
| DeepSWE | — | 66.6% |
| FrontierCode | — | 42.4% |
| LMArena WebDev | — | 1583 |
| HumanEval+ | 70.1% | — |
| MBPP+ | 55.8% | — |
Reasoning GPT-6 Luna leads
DBRX: 20.5 (#218), GPT-6 Luna: 31.7 (#68)
| Benchmark | DBRX | GPT-6 Luna |
|---|---|---|
| LMArena Hard Prompts | 1113 | 1415 |
| NYT Connections (extended) | — | 68.7% |
Math GPT-6 Luna leads
DBRX: 22.3 (#265), GPT-6 Luna: 35.6 (#140)
| Benchmark | DBRX | GPT-6 Luna |
|---|---|---|
| LMArena Math | 1145 | 1396 |
| MATH Level 5 | 11.7% | — |
Knowledge GPT-6 Luna leads
DBRX: 14.9 (#289), GPT-6 Luna: 40.1 (#110)
| Benchmark | DBRX | GPT-6 Luna |
|---|---|---|
| LMArena Expert | 1076 | 1458 |
| GPQA Diamond | 32.9% | — |
Multimodal Not comparable
DBRX: —, GPT-6 Luna: 42.0 (#27)
| Benchmark | DBRX | GPT-6 Luna |
|---|---|---|
| Furniture Assembly | — | 44.2% |
Multilingual GPT-6 Luna leads
DBRX: 29.4 (#263), GPT-6 Luna: 51.0 (#111)
| Benchmark | DBRX | GPT-6 Luna |
|---|---|---|
| LMArena Non-English | 1071 | 1390 |
| LMArena Chinese | 1068 | 1425 |
| LMArena Russian | 1078 | 1392 |
| LMArena Spanish | 1064 | 1416 |
| LMArena French | 1095 | — |
| LMArena German | 1057 | — |
| LMArena Japanese | 990 | — |
| LMArena Korean | 993 | — |
Instruction Following GPT-6 Luna leads
DBRX: 57.7 (#265), GPT-6 Luna: 74.7 (#85)
| Benchmark | DBRX | GPT-6 Luna |
|---|---|---|
| LMArena Instruction Following | 1112 | 1414 |
Long Context GPT-6 Luna leads
DBRX: 33.7 (#253), GPT-6 Luna: 43.3 (#95)
| Benchmark | DBRX | GPT-6 Luna |
|---|---|---|
| LMArena Longer Query | 1112 | 1417 |
Writing & Preference GPT-6 Luna leads
DBRX: 33.7 (#271), GPT-6 Luna: 58.4 (#115)
| Benchmark | DBRX | GPT-6 Luna |
|---|---|---|
| LMArena Text | 1119 | 1392 |
| LMArena Creative Writing | 1104 | 1357 |
| LMArena Multi-Turn | 1111 | 1400 |
Frequently asked questions
Is DBRX better than GPT-6 Luna?
GPT-6 Luna is the stronger model overall, scoring 45.1 to 29.0 on the Noometry Index.
Is DBRX or GPT-6 Luna better for coding?
GPT-6 Luna scores higher on coding benchmarks: 54.7 versus 32.3 in the Noometry coding category.
How many benchmarks do DBRX and GPT-6 Luna share?
13 benchmarks have published results for both models. DBRX has 21 scored results on Noometry and GPT-6 Luna has 18.